Q. What is clustering in the context of data mining?

View solution

Q. How is cluster detection characterized in terms of knowledge discovery?

View solution

Q. In cluster detection, what is the role of variables like age group and income level?

View solution

Q. What is the purpose of forming clusters in data mining?

View solution

Q. What is essential for understanding and utilizing the clusters formed by the data mining algorithm?

View solution

Q. In the context of data mining, what is K in the K-means clustering algorithm?

View solution

Q. How does the K-means clustering algorithm initially choose centroids?

View solution

Q. What determines the closeness of a customer record to a centroid in the K-means clustering algorithm?

View solution

Q. How does the algorithm redraw cluster boundaries in the K-means clustering algorithm?

View solution

Q. What is the primary application of decision trees in data mining?

View solution

Q. Why might decision trees be suitable in cases where the reasons for predictions are important?

View solution

Q. How is the effectiveness of a decision tree measured?

View solution

Q. What does pruning aim to achieve in decision trees?

View solution

Q. In memory-based reasoning (MBR), what does the algorithm use to predict unknown instances?

View solution

Q. What does the distance function do in MBR?

View solution

Q. What is the key role of the combination function in MBR?

View solution

Q. In MBR, what does the nearest neighbor predict for unknown respondents?

View solution

Q. What are the three critical issues when solving a data mining problem using MBR?

View solution

Q. What is the primary focus of the link analysis algorithm?

View solution

Q. What is the purpose of associations discovery in link analysis?

View solution